tidybayes-package: Tidy Data and 'Geoms' for Bayesian Models

In tidybayes: Tidy Data and 'Geoms' for Bayesian Models

Tidy Data and 'Geoms' for Bayesian Models

Description

tidybayes is an R package that aims to make it easy to integrate popular Bayesian modeling methods into a tidy data + ggplot workflow.

Details

Tidy data frames (one observation per row) are particularly convenient for use in a variety of R data manipulation and visualization packages (Wickham 2014). However, when using Bayesian modeling functions like JAGS or Stan in R, we often have to translate this data into a form the model understands, and then after running the model, translate the resulting sample (or predictions) into a more tidy format for use with other R functions. tidybayes aims to simplify these two common (often tedious) operations. It also provides a variety of ggplot geometries aimed at making the visualization of model output easier.

For a comprehensive overview of the package, see vignette("tidybayes"). For overviews aimed at the rstanarm and brms packages, see vignette("tidy-rstanarm") and vignette("tidy-brms"). For an overview of the majority of geoms in the ggdist/tidybayes family, see vignette("slabinterval", package = "ggdist").

For a list of supported models, see tidybayes-models.

Author(s)

Maintainer: Matthew Kay [e-mail]

Other contributors:

• Timothy Mastny [e-mail] [contributor]

References

Wickham, Hadley. (2014). Tidy data. Journal of Statistical Software, 59(10), 1-23. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v059.i10")}.

See Also

Useful links:

• https://mjskay.github.io/tidybayes/

• https://github.com/mjskay/tidybayes/

• Report bugs at https://github.com/mjskay/tidybayes/issues

tidybayes documentation built on Sept. 15, 2024, 9:08 a.m.